Machine Learning Research · 2023

Exoplanet Habitability Classification & Analysis

Comprehensive ML pipeline analyzing 5,600+ exoplanets from the PHL Exoplanet Catalog to predict habitability. Implemented multiple classification algorithms with model explainability using LIME to interpret planetary characteristics influencing habitability predictions.

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Technical Highlights

  • 01

    100+ feature engineering from astronomical measurements including ESI (Earth Similarity Index).

  • 02

    Model explainability framework using LIME for interpretable habitability predictions.

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Stack

PythonScikit-learnPandasNumPyDaskLIMEMatplotlib